4 Unisys Builds Large Complex Mission Critical Big Data Knowledge Repositories On a Typical Day, DHS-CBP Processes 932,456 passengers and pedestrians. Processes 64,483 truck, rail, and sea containers. 470 refusals of entry at our ports of entry and 61 arrests of criminals at ports of entry. Seizes 13,717 pounds of drugs. Fusing multiple disparate data sources to provide useful information to CBP analysts. CBP 2012 Annual Report TASPO is THE program that provides protection against potential threats while facilitating commerce and people-flow through our nation s border crossings. We process more than 1.3 Billion transactions a day. Unisys has been supporting DHS for more than 15 years. Integrating more than 30 different applications all over the world 2013 Unisys Corporation. All rights reserved. 4

8 Unisys Data Products Library Different domains need different insights Essentially this is the art and science of taking a set of very complicated analytics and operationalizing or monetizing them such that they are consumable by customers. They can manifest themselves as many things Analytical "engines" running in a larger application (Amazon's recommender engine is a great Data Product) Lists (e.g., Top 10 things I need to know today) Entire applications (e.g., customer baseball cards) However once they are defined, one thing is true for all It takes a combination of domain agnostic analytic techniques together with domain specific knowledge to produce something relevant and consumable that can be monetized or operationalized Unisys Corporation. All rights reserved. 8

9 Use Cases

10 Use Case Federal Customer Increase Market Share and Identify Customer Behavior Federal Customer was looking for guidance on leveraging their data to do predictive analytics to help drive their bottom line. Customer wants to leverage text mining analytics to link the unstructured data between their opportunities and potential offerings Unisys Predictive Analytics Services : The more money that a customer spends utilizing their services ultimately improves their overall revenue and profitability Results: Leverage transactional sales data to identify situations, indicators or actionable intelligence to increase business Developed a statistical predictive model that identifies customers who have a high probability of decreasing their GSA spend in These customers would require additional actions to help maintain or increase their GSA spend. Additionally developed a machine learning algorithm to recommends similar services that vendors with should be qualified to support Unisys Text Mining Services: The ability to generate and understand opportunity leads will help customer focus their acquisition support services Results: Leverage opportunities from FedBiz Opps, and other reference and schedule data to create an indexing system that identifies high probability opportunity/schedule options to use as a lead generation tool Customer can get relieve from manual analysis and assessment of opportunities by using this approach to triage opportunities in an automated way allowing analysts to focus acquisition assistance on specific opportunities 2013 Unisys Corporation. All rights reserved. 10

11 Use Case - US Classified Customer How the enemy is using analytics to attack us Challenge: Large intelligence customer needs to understand big data use cases and how it is changing g the landscape from data to insights Solution: Prepared curriculum on Big Data and Data Science including current state t of the art and new techniques Related use cases and approaches of known commercial entities to the protective services domain Result: Multi-course training program on existing contract to cover: Big Data Introduction Data Mining and Information Retrieval Social Network Analysis and other special topics Data exploitation techniques and mitigations 2013 Unisys Corporation. All rights reserved. 11

12 Use Case Commercial Clients Analyze IT Service Management to Increase Operational Efficiencies GMS is Unisys Global Manage Services and maintains a rich database of details of the incidents, tasks, chats and customers surveys related to each transaction GMS challenges relate to analyzing their full data and leveraging this to help improve their overall processes. This includes lack of ability to view entire time frames, provide enhanced reporting, understanding customer sentiment, automating manual processes and predictive analytics Unisys Process Automation & Reporting Services: GMS s current reporting process involves a number of manual processes to calculate variables, trend data and populate reports required for client review Goal: Leverage our big data environment (including data ingestion and visualization) and the appropriate machine learning algorithms to streamline and improve the reporting process Results: Recreated GMS operational reports within our big data environment including all variables, calculations l and graphics. Currently developing machine learning algorithm to populate manually calculated variables Unisys Sentiment Analysis Services: GMS provides surveys to their customers in order to obtain feedback on overall service and understanding the unstructured text can help improve overall customer service Goal: Analyze the unstructured comments text to identify the customer sentiment for the entire history of the database(5+ years, 1 million records) Results: Analyzed all Additional Comments unstructured text, identified key terms that lead to both positive and negative experiences, determined sentiment score for each customer. The sentiment scores were plotted for each customer for the years 2009 to 2013 by customer Unisys Corporation. All rights reserved. 12

13 Sentiment Analysis Results Selected Customers This shows the average sentiment of the clients over time by Quarter. Provides opportunities to business leaders to address issues and document best practices Unisys Corporation. All rights reserved. 13

16 Big Data Analytics Methodology Modeling Components Decision Making & Forecasting Provide actionable intelligence into the future state Models Statistical model applied to input data that separates the portion of volume due to each of the variables or factors. We use the term model, because it is a simplification of reality. Data Internal Data Demographic Data Demographic Data 3rd Party Data 2013 Unisys Corporation. All rights reserved. 16

19 Unisys Big Data Analytics as a Service (BDAaaS) Customer ability to access and use reporting capabilities Running Both At Unisys and At Amazon Customer ability to use Data Products and create new ones 2013 Unisys Corporation. All rights reserved. 19

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